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Publications with keyword "Variance"

1. Q. Lan, Y. Pan, A. Fyshe, M. White. "Maxmin Q-learning: Controlling the Estimation Bias of Q-learning". International Conference on Learning Representations, pp n/a, April 2020. PDFview
2. N. Burch, M. Schmid, M. Moravcik, D. Morrill, M. Bowling. "AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games". National Conference on Artificial Intelligence (AAAI), (ed: Sheila A. McIlraith, Kilian Q. Weinberger), pp 949-956, February 2018. PDFview
3. K. Abou-Moustafa, D. Schuurmans, F. Ferrie. "Learning a metric space for neighbourhood topology estimation. Application to manifold learning". Asian Conference on Machine Learning, (ed: Cheng Soon Ong and Tu Bao Ho), pp 1-16, November 2013. PDFview
4. K. Abou-Moustafa, F. Ferrie. "A Note on Metric Properties of Some Divergence Measures. The Gaussian Case". Asian Conference on Machine Learning, (ed: Steven C.H. Hoi and Wray Buntine), pp 1-15, November 2012. PDFview
5. P. Hooper, Y. Abbasi-Yadkori, R. Greiner, B. Hoehn. "Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling". Conference on Uncertainty in Artificial Intelligence (UAI), June 2009. PDFview
6. T. Van Allen, A. Singh, R. Greiner, P. Hooper. "Quantifying the Uncertainty of a Belief Net Response: Bayesian Error-Bars for Belief Net Inference". Artificial Intelligence (AIJ), September 2007. view
7. C. Lee, R. Greiner, S. Wang. "Using Query-Specific Variance Estimates to Combine Bayesian Classifiers". International Conference on Machine Learning (ICML), Pittsburgh, June 2006. PDFview
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